เงื่อนไขการค้นหา

ทักษะ:

Accounting

ประเภทงาน:

งานประจำ

• Manage the full spectrum of the finance, accounting, banking and tax reporting.
• Liaise with external auditors, tax agents, solicitors, bankers, company secretary and other professionals to ensure compliance on all matters relating to audit, tax and statutory requirements.
• Prepare monthly financial reports with analysis and report the management.
• To oversee, supervise and collaborate with other finance and account teams and manage reporting, compliance and controls projects.
• To liaise with auditors, tax agents, bankers and other external parties.
• Perform all other accounts and finance related tasks and ad-hoc assignments as and when requested by the management.
• Liaise with related departments to coordinate on accounting related matters.
• Reports to management for company finance and account matters.
• Other ad hoc duties and projects assigned by management.
• HR experiences is preferred.
• Fluent proficiency in English and Thai.
• Candidate must possess at least a Bachelor's Degree in Accounting.
• Preferably more than 8-10 years of experience in accounting fields.
• Self-motivated, independent, resourceful, trustworthy, methodical, proactive, and initiative.
• Able to multi-task and have a good learning attitude.
• Good communication and management skills.
• must be good or fair in English communication.
• Mandarin is an advantage. (Candidates fluent in Mandarin preferred).
• Candidate must possess at least a Bachelor's Degree in Accounting or equivalent.
• Preferably with at least 1-2 years' experience in accounts or related fields.
• Self-motivated, resourceful, systematic, proactive, prudent, forceful, confident, thoughtful, flexible, and open-minded.
• Team player with a customer-oriented attitude.
• Able to multi-task and has a good learning attitude.
• Good communication and management skills.
• Must be good or fair in English communication.
• Mandarin is an advantage. (Candidates good or fair in Mandarin preferred).
• Welfare benefits.
• 5 days working.
• Holidays according to the Bank of Thailand.
• Annual leave 6 days - 12days.
• Additional medical and dental fee support.
• Bonus 13rd-month salary.
• Extra bonus (based on employee's performance and company's performance).
• Domestic and international training trips (Depending on company's performance).
• _______________.
• Location: 350 m. from MRT Lat Phrao 71 Station (YL04:Yellow Line).
• Google map: https://maps.app.goo.gl/Dm56zV7yGCMjzYv26.
• UPCM Trading (Thailand) Company Limited.
• No. 12/1 Dynasty Condo Building, 1st Floor,.
• Soi Lat Phrao 71, Lat Phrao Road, Sapansong, Wangthonglang, Bangkok,10310 Thailand.
• _______________.
• Website: https://www.upc.com.tw/en/Html/worldwide_locations/WorldwideDetail/Southeast_Asia/STHT.
• UPC Technology Corporation (UPC) was founded in 1976 as a petrochemical products producer. In addition to continuously focusing on the core chemicals business, UPC supports the development of specialty chemicals and logistics service businesses. This operation model integrating the synergy of the internal resources, including economy of scale, economy of scope and product differentiation, with external alliances is what builds up the core competitiveness of UPC. With enhanced efforts in application research and new product development supported by reliable after-sale services, UPC aims to become a total service provider in the chemical industry. It is our belief that total customer satisfaction holds the key to success, which in return gains confidence and trust from our customers.
• UPC Business .
• Core Business.
• Phthalic Anhydride.
• Maleic Anhydride.
• Fumaric Acid.
• PVC Resin.
• General Plasticizer.
• Specialty Chemical Business.
• Specialty Plasticizer.
• Polyester Polyol.
• Fatty Ester.
• Lubricant Ester.
• CCL Epoxy & Hardener.
• Logistics and Service Business.
• Terminal storage operation.
• Warehouse.
• Transportation.
• Import / Export handling services.
• Trading.
• Engineering.
• Energy Service.
• UPC has been maintaining a steady and rapid growth along with the overall economic development and gradual shift of emerging markets. To this day, UPC has built 7 manufacturing and logistics centers in Greater China. In order to expand our business in Asia Pacific and to enhance our competitiveness, and furthermore in response to the rapid-growth ASEAN market and to satisfy our customers' needs, UPC close cooperates with the local raw material supplier and is in progress to build plasticizer production lines with totally 180,000 ton/year capacity and port tank farm at Gebeng, Kuantan in Malaysia.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Business Development, Project Management, Risk Management, Leadership Skill, Appsflyer

ประเภทงาน:

งานประจำ

• Project Planning & Delivery: Own the full project lifecycle - define scope, build and maintain delivery plans and timelines, and drive each publishing project from kickoff to live with clear milestones and accountability.
• Cross-Team Coordination: Act as the key coordination point between the Developer, the internal Tech team, and Regional Business team members across SEA, making sure requirements, data, and decisions flow correctly and on time between all parties.
• Stakeholder Alignment: Serve as the primary point of alignment across Regional Busin ...
• Risk & Issue Management: Proactively identify, track, and mitigate project risks and issues; maintain a live risk register and drive timely resolution before delivery is affected.
• Launch Readiness Ownership: Own the launch readiness process end-to-end, coordinating all functional sign-offs (product, tech, marketing, store, and payment) to ensure every title meets go-live criteria.
• KPI, MMP & Analytics Oversight: Own the tracking and reporting of core game KPIs (installs, CPI, conversion, retention, DAU/MAU, ARPDAU/ARPPU, LTV, ROAS) across MMP platforms, store consoles, and BI tools; ensure attribution, analytics, and SDK implementations are properly planned, tracked, validated, and aligned with business and reporting requirements across all titles.
• Store Publishing Oversight: Ensure compliance with platform requirements, submission timelines, asset readiness, and launch approvals across the Apple App Store and Google Play, and monitor store-side performance (rankings, ratings, reviews, conversion) post-launch.
• Management Reporting & Escalation: Provide clear, regular status and KPI reporting to leadership; escalate blockers and decisions with the right context and recommended actions.
• Process Improvement: Continuously refine project management practices, templates, and tooling to build scalable, repeatable delivery processes across the regional portfolio.
• Professional Background: 1+ years of project management experience in the mobile game industry (publishing, live-ops, or development), with hands-on exposure to mobile game publishing and a track record of delivering titles to launch and through live operations.
• Proven experience managing projects within a matrix organization and coordinating across regional or HQ teams, developers, and external partners.
• Game Industry Acumen: Working understanding of the mobile game publishing lifecycle (soft launch, global launch, live-ops) and how product, commercial, and technical decisions interact.
• KPIs & Analytics: Solid understanding of core mobile game KPIs (installs, CPI, CVR, retention D1/D7/D30, DAU/MAU, ARPDAU/ARPPU, LTV, ROAS) and how to read and act on them.
• SDK & MMP: Working knowledge of mobile attribution and analytics platforms (e.g., AppsFlyer, Adjust, Firebase) and the ability to oversee correct SDK implementation and validation.
• Store Publishing: Hands-on familiarity with Apple App Store Connect and Google Play Console - submission, compliance, release management, and store-performance metrics.
• BI & Reporting Tools: Comfortable working with BI/dashboarding tools (e.g., Looker, Power BI, Tableau, or equivalent) to build, read, and present performance reporting.
• Delivery Discipline: Strong command of project planning, scheduling, and risk management, with a bias for on-time, on-scope execution.
• Cross-Functional Coordination: Comfortable acting as the go-between for developers, internal tech teams, and regional business stakeholders across multiple SEA markets, translating technical and data topics into business-relevant language and vice versa.
• Stakeholder Management: Exceptional ability to align and coordinate diverse cross-border stakeholders and keep them moving in one direction.
• Structured Communication: Clear, concise reporting and escalation that gives leadership the context to decide quickly.
• Agile Learner: Able to quickly grasp the nuances of the game industry and regional product flows with minimal supervision.
• Tools: Proficiency with project and work-management tools (e.g., ClickUp, Jira, or equivalent).
• Education: Minimum Bachelor's Degree in STEM, Business, or a related field.
• Communication: Business-level English essential for regional coordination; working Thai an advantage given the Bangkok base. Business-level Chinese is a plus.
• Why Join Playpark?.
• This role puts you at the heart of how Playpark brings games to market across the region. You will own the delivery engine behind our most important launches - backed by the specialized power of our Regional Business, Tech, and UA teams - and have a direct hand in shaping the processes, KPIs, and tooling that scale our publishing operation as we grow.

ทักษะ:

Product Owner, SQL, Research, English

ประเภทงาน:

งานประจำ

• Talk to agents, landlords, customers and operations teams weekly - collect ground truth, don't assume.
• Analyze funnel, listing and CRM data (Metabase/SQL, Google Sheets) to size opportunities and define success metrics.
• Use AI agents to accelerate research, competitor monitoring, prototyping and validation before anything gets built.
• Specification.
• Clearly articulate what we shall build, why and what the expected success criteria are.
• Then leverage AI to write produce specifications, including concise PRDs (problem, users, success metrics, scope, out-of-scope), design flows and wireframes, and sequenced, agent-executable tasks.
• Build & Ship with AI Agents.
• Assign, steer and review coding agents in AI-native product management tools to implement features, write tests and fix bugs.
• Work with a software engineer who reviews code for safety, simplicity and interdependencies before release.
• Own release, rollout, and adoption success together with Operations, Sales and Marketing.
• Measure & Iterate.
• Track KPIs after launch, run experiments, kill what doesn't work, double down on what does.
• Post-launch review and decision log for every meaningful ship.
• Highly analytical and strong with numbers - comfortable in working with large data sets (e.g. spreadsheets with several thousand lines of data).
• Deep working understanding of AI: LLMs, agents, prompting and context engineering, limits and failure risks of AI agents.
• Hands-on proof of building with AI: live apps, GitHub repos or shipped features built with AI coding tools (e.g. Claude Code, Cursor, Lovable, Replit). Links are required in the application..
• Understanding of how software works - APIs, data models, system dependencies - enough to spec well and judge agent output.
• Excellent English (written and spoken), strong ownership mindset, fast, structured, detail-oriente.
• Thai language skills are a big plus.
• Level A: (Senior) Product Owner.
• 3+ years working in digital product development (as Product Owner, Product Manager, software engineer, designer, or similar roles).
• Track record of shipped products with measured KPI impact.
• Proof of having integrated AI agents into own product delivery.
• Start-up or marketplace experience is a plus.
• Level B: Junior Product Owner.
• 0-2 years of full-time experience; strong academics from a top university in a quantitative field (Engineering, Computer Science, Data Science, Economics, Finance, Statistics).
• Relevant exposure through internships in product, tech, start-ups or consulting, university projects, side hustles or hackathons.
• Demonstrated AI-built projects (apps, tools, automations) - small is fine, as long as they work, you can show them, and you can explain your decisions.
• Good to have.
• Thai language.
• Experience with cloud-native product and coding AI agents orchestration setups.
• Figma, Jira, no-code automation platforms (e.g. Make, n8n).
• Real estate, marketplace or CRM domain knowledge.
• Your Growth & DevelopmentThis role is a stepping stone for a product builder who wants to work the way products are built now: AI agents do the heavy lifting, you own the direction, taste, outcome and adoption. You join a lean Thai/international team in one of the best funded start-ups in Thailand, report directly to the COO, and ship to 7,000+ agents and 10,000+ monthly customers.
• Full ownership of features from idea to KPI impact - no handover queue.
• Work with an agentic development stack most companies are only reading about.
• Work with large-scale operations covering 7,000+ agents, 250,000+ properties, and 10,000+ monthly customers.
• Direct exposure to the COO and senior management.
• Fast career path and limitless opportunities to have impact.
• BOI-promoted work permit for Thailand.
• Performance bonus and potential ESOP for exceptional candidates.
• About PropertyScoutPropertyScout is Thailand's leading end-to-end real estate transaction platform, automating 80% of the real estate transaction process to empower agents to deliver a trusted and seamless experience for tenants, buyers, and landlords. We combine technology, data, centralized operations, and a large agent network to make buying, selling, and renting property faster, more transparent, and more reliable.
• 7,000+ third-party agents and 600+ in-house agents.
• 250,000+ properties in our database.
• 10,000+ buyers, tenants, and property owners served every month.
• Venture-backed by leading international investors, with ambition to build a category-leading business across SEA.
• Apply NowReady to build products the way they will be built from now on?.
• Send your application to: [email protected].
• Subject: AI-native Product Owner - Application - [Your Name].
• Why are you the perfect match for this role?.
• Share links to 1-3 things you built with AI tools (live app, repo, demo video). What did each do, what did the AI get wrong, and how did you fix it?.
• What is your expected salary range and possible start date?.

ทักษะ:

Architecture, Assurance, React.js, Android, English

ประเภทงาน:

งานประจำ

• Thai citizen only*.
• Work as a senior member of an Agile/Scrum development team, consistently meeting sprint commitments and contributing to process improvements.
• Design, develop, and deliver complex software features, ensuring code quality through robust unit and integration testing.
• Solve challenging engineering problems across multiple platforms, applying advanced technical skills to improve performance, scalability, and maintainability.
• Analyze business and technical requirements to propose effective, efficient, and forward-thinking solutions.
• Take ownership of technical components, ensuring they meet functional and non-functional requirements, including performance, security, and reliability.
• Contribute to architectural discussions and codebase improvements that have long-term impact on product quality and engineering efficiency.
• Collaborate closely with cross-functional teams (Design, DevOps, QA, Front-end, Mobile, Back-end, Client) to ensure smooth delivery of features and enhancements.
• Provide peer-to-peer mentorship, sharing knowledge, coding best practices, and architectural insights with other engineers.
• Strong experiences using React Native for Mobile application and React.JS is a plus.
• Experience leading and managing mobile engineering teams, with good hands-on skills in either iOS or Android.
• A good grasp of app architecture patterns (MVVM, Clean Architecture), dependency injection, and writing testable code.
• Experience managing mobile CI/CD pipelines and supporting apps in production.
• Experience in Cloud Infrastructure (AWS, Google Cloud, Azure).
• Good command of English.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Appsflyer, Thai

ประเภทงาน:

งานประจำ

Responsible for running and optimizing app acquisition campaigns. Closely monitor performance app acquisition of responsible campaigns and perform on-going analysis, learning, reporting and optimization plan for active campaigns/activities to ensure KPI achievement. Work closely with media planners and marketers to develop effective online media buying plans to ensure KPI achievement as well as manage execution and budget allocation. Provide recommendations for performance improvement and tracking tools when needed Take the ownership and initiate optimization strategies. Analyze an ...

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Quality Assurance, Assurance

ประเภทงาน:

งานประจำ

• Develop, implement, and maintain comprehensive test plans, test cases, and test scripts to ensure thorough testing coverage.
• Collaborate with development, product management, and other cross-functional teams to understand product requirements and define test strategies.
• Identify, analyze, and report bugs, defects, and other quality issues, and work with the development team to resolve them.
• Participate in design reviews to provide input on functional requirements, product designs, and potential issues.
• Establish and maintain testing frameworks, tools, and automation scripts to improve testing efficiency and accuracy.
• Analyze test results and prepare comprehensive test reports for management and stakeholders with recommendations.
• Stay up to date with emerging trends, tools, and best practices in QA and software testing.
• Develop user manuals and provide training on the functions to clients.
• Support monthly project activities and reports, including summaries for clients.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum 2 years of experience in software quality assurance and testing.
• Strong knowledge of software testing methodologies, techniques, and frameworks, including functional, integration, regression, and performance testing.
• Experience with test automation tools such is a plus as Selenium, Appium, or similar.
• Familiarity with reporting & analytics tools and SQL such as PowerBI, Google Analytics, Adobe Analytics, Looker Studio, MySQL.
• Familiarity with Agile and DevOps methodologies and tools, including CI/CD pipelines.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Preferred.
• Experience with API testing, web and mobile app testing, and database testing.
• Knowledge of performance testing tools is a plus such as JMeter or LoadRunner.
• Industry-recognized QA certifications is a plus, such as ISTQB or CSTE.
• Experience with version control systems such as Git or SVN.
• If you are a passionate and experienced QA professional who is eager to contribute to the delivery of high-quality software products, we encourage you to apply for this exciting opportunity!.
• LI-CW1.
• Permanent.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Leadership Skill, Python

ประเภทงาน:

งานประจำ

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

User Experience (UX), Google Analytics, Product Owner, Architecture, Firebase, Tableau, Android, UI / UX, Scrum, iOS

ประเภทงาน:

งานประจำ

• Take the helm of our flagship digital product and shape the future of retail technology. As the Product Manager for our App, you will drive the product vision, strategy, and execution to integrate diverse services - from e-commerce and loyalty programs to digital payments - into one seamless, high-performance mobile ecosystem. We believe that delivering exceptional customer experiences starts from within; therefore, you will work in an environment driven by our core values of "Harmony" and "Empathy," collaborating with teams whose well-being and happiness are the foundation of our ...
• Define and execute the roadmap for the App. Balance the integration of multiple "mini-apps" or service verticals within a single, cohesive user interface and unified user experience (UX).
• Act as the central hub between Business Stakeholders, UI/UX Designers, iOS/Android Tech Leads, and QA teams. Translate complex business requirements and customer needs into clear, actionable user stories and product specifications.
• Champion the voice of the customer. Utilize deep "Empathy" to understand user pain points, conduct user research, and leverage data analytics to drive product enhancements and feature prioritization.
• Manage the product backlog, lead sprint planning, and ensure the engineering team delivers maximum value in every release cycle. Make critical go/no-go decisions for feature rollouts.
• Define and monitor key product metrics (MAU, DAU, Retention Rate, Conversion, ARPU). Utilize A/B testing and data-driven insights to continuously optimize the Super App's performance and user engagement.
• Job.
• Extensive experience in architecting or managing App ecosystems, digital wallets, or complex retail-tech platforms. Capable of driving portfolio-level strategies and presenting product roadmaps to Executives.
• Agile/Scrum, User Story Mapping, Wireframing, Backlog Grooming, Sprint Planning.
• Jira, Confluence, Figma, Miro, Trello.
• Google Analytics, Mixpanel, Firebase, Tableau, Amplitude (for user behavior tracking).
• Mobile App Architecture (understanding of micro-frontends/mini-apps), E-commerce, Loyalty Systems, Payment Gateways (Fintech).
• CSPO (Certified Scrum Product Owner) or PSPO (Professional Scrum Product Owner).
• AIPMM Certified Product Manager.
• Certifications in UI/UX principles or Data Analytics.
• All applications will be treated with the strictest confidentiality. If your qualifications and experience align with the requirements of the role, our talent acquisition team will reach out to you directly. In the event that there is not an immediate fit, we will securely retain your profile for consideration against future suitable opportunities.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, Quality Assurance, Problem Solving, Architecture, Automation, Python, SQL

ประเภทงาน:

งานประจำ

• Why LINE MAN Wongnai.
• LINE MAN Wongnai is one of the fastest-growing technology companies in Thailand. We are a team of talented people working together to build a digital ecosystem that drives the country forward. By using data and AI, we create products that make a real difference in people's lives from the LINE MAN app and Wongnai POS to financial services through LINE Pay.
• We work at the point where fast-growing technology meets everyday e-commerce lifesty ...
• Why this Role.
• This role re-imagines traditional IT operations by positioning you as the team's core.
• Builder".
• and creator of efficiency tools. Your mission is to transform everyday operational challenges into practical, high-impact automated systems.
• Leveraging deep technical expertise, scripting mastery, and modern AI/GenAI applications (such as Gemini Enterprise), you will design and enhance Modern Device Management while developing automation across our entire SaaS and Enterprise Software ecosystem - including UEM platforms, IDPs, Google Workspace, Microsoft 365, Slack and more.
• By joining our team, you will step into a role where you can solve complex system integration challenges, drive internal innovation, and elevate both security and operational efficiency at scale.
• Endpoint Security & UEM Architecture.
• Lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats.
• Continuously build, update, monitor, and troubleshoot device configurations. Ensure all changes strictly align with business requirements and company policies.
• Define and enforce robust security baselines (e.g., Disk Encryption, Password Complexity, OS Patch Management) to achieve 100% compliance.
• Configure automated security workflows to instantly detect, alert, and isolate non-compliant or compromised endpoints.
• Maintain comprehensive "Security & Admin Guides," documenting configuration baselines, automation workflows, SOP and incident response procedures.
• Automation & System Integration.
• Design, build, and maintain automation scripts and internal bots (using Python, Google Apps Script, Slack Apps) to eliminate manual IT and cross-team workflows.
• Develop custom API connectors and Webhooks to seamlessly integrate core work platforms (Okta, Google Workspace, Slack, HRIS) with internal tools for real-time data sync.
• Deep-dive into configuring Okta, Google Workspace, Gemini Enterprise, Slack, and other enterprise SaaS systems to roll out new features and apply to requirements.
• Perform rigorous testing in sandbox environments to ensure automations operate smoothly without disrupting live operations.
• Operations & Optimization.
• Analyze and resolve complex technical glitches related to API integrations and scripts.
• Continuously monitor the health, speed, and efficiency of internal scripts, bots, and integration pipelines.
• What You'll Need.
• Bachelor's degree in Computer Science, IT, Computer Engineering, or a related field (or equivalent practical experience).
• 4-6 years of experience in Software Development, Systems Engineering, IT Automation, or Enterprise Application Integration.
• Passion for Coding and Scripting.
• Strong hands-on coding skills in.
• Python, Google Apps Script, or PowerShell,.
• along with SQL fundamentals.
• Expertise in REST APIs, Webhooks, OAuth 2.0, and safe credential handling/secret management.
• Hands-on experience administering at least one major UEM/MDM solution (e.g., Jamf, Kandji, Microsoft Intune, Workspace ONE).
• Strong administrative and integration experience with Okta (or similar IdP), Google Workspace, Slack and Enterprise Platforms.
• Exceptional task prioritization and time management skills. Ability to thrive in a fast-paced, high-pressure environment and effectively manage a high workload.
• Strong analytical skills, a passion for building internal tools, and an eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools) to business needs.
• What Sets You Apart.
• Strong passion, curiosity, and eagerness to learn and apply emerging technologies (e.g., AI/GenAI tools like Gemini Enterprise, Claude, LLMs) to business needs and modern workplace automation.
• Strong analytical skills with a passion for identifying operational bottlenecks and building internal tools to solve them at scale.
• Ability to balance strict security enforcement and endpoint hardening with a smooth, seamless end-user experience across the organization.